Version 1
: Received: 18 April 2021 / Approved: 19 April 2021 / Online: 19 April 2021 (16:33:29 CEST)
How to cite:
Constantin, M.; Ileana, M.; Venera, D.; Crisan, D. Quantification of the Direct Solar Impact on Some Components of the Hydroclimatic System. Preprints2021, 2021040508. https://doi.org/10.20944/preprints202104.0508.v1
Constantin, M.; Ileana, M.; Venera, D.; Crisan, D. Quantification of the Direct Solar Impact on Some Components of the Hydroclimatic System. Preprints 2021, 2021040508. https://doi.org/10.20944/preprints202104.0508.v1
Constantin, M.; Ileana, M.; Venera, D.; Crisan, D. Quantification of the Direct Solar Impact on Some Components of the Hydroclimatic System. Preprints2021, 2021040508. https://doi.org/10.20944/preprints202104.0508.v1
APA Style
Constantin, M., Ileana, M., Venera, D., & Crisan, D. (2021). Quantification of the Direct Solar Impact on Some Components of the Hydroclimatic System. Preprints. https://doi.org/10.20944/preprints202104.0508.v1
Chicago/Turabian Style
Constantin, M., Dobrica Venera and Demetrescu Crisan. 2021 "Quantification of the Direct Solar Impact on Some Components of the Hydroclimatic System" Preprints. https://doi.org/10.20944/preprints202104.0508.v1
Abstract
This study addresses the causal links between external factors and the main hydro-climatic variables. There is a gap in the literature on the description of a complete chain in addressing the structures of direct causal links of solar activity on the terrestrial variables. This is why, the present study uses the extensive facilities of the application of information theory in view of recent advances in different fields. Also, by other methods (e.g. neural networks) first are tested the existence non-linear links of solar-terrestrial influences on hydro-climate system. The results are promising related to the solar impact on terrestrial phenomena which is discriminant in space-time domain. The implications prove robust for determining the causal measure of climate variables under direct solar impact which makes it easier to consider solar activity in climate models, by appropriate parametrizations. This study found that hydro-climatic variables are sensitive to solar impact only for certain frequencies (periods) and these have a coherence with the Solar-Flux only for some lags of the Solar-Flux (in advance).
Keywords
time series; causality; entropy transfer; wavelet analysis; neural networks; climate response; solar impact
Subject
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
